Research Explorer

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Bert Claessens

Publicaties & datasets

Prijzen & Erkenningen

19 Resultaten

2025

Predicting and publishing accurate imbalance prices using Monte Carlo Tree Search

Fabio PaviraniJonas Van GompelSeyedsoroush Karimi MadahiBert ClaessensChris Develder

A1 Artikel in een tijdschrift in APPLIED ENERGY

Probabilistic forecasting of power system imbalance using neural network-based ensembles

Jonas Van GompelBert ClaessensChris Develder

A1 Artikel in een tijdschrift in APPLIED ENERGY

Risk-sensitive reinforcement learning-based strategies for dutch implicit balancing

Seyedsoroush Karimi MadahiFabio PaviraniBert ClaessensChris Develder

Scalable attention-based reinforcement learning method for multi-asset control

Seyedsoroush Karimi MadahiGiuseppe GabrieleBert ClaessensChris Develder

System-aware reinforcement learning for optimized implicit imbalance participation in Belgium

Fabio PaviraniSeyedsoroush Karimi MadahiBert ClaessensChris Develder

2024

Control policy correction framework for reinforcement learning-based energy arbitrage strategies

Seyedsoroush Karimi MadahiGargya GokhaleMarie-Sophie VerweeBert ClaessensChris Develder

Demand response for residential building heating : effective Monte Carlo Tree Search control based on physics-informed neural networks

Fabio PaviraniGargya GokhaleBert ClaessensChris Develder

A1 Artikel in een tijdschrift in ENERGY AND BUILDINGS

Deployable data-driven control algorithms for residential demand response : a study on specialized, problem-specific neural architectures

Gargya GokhaleChris DevelderBert Claessens

Distill2Explain : differentiable decision trees for explainable reinforcement learning in energy application controllers

Gargya GokhaleSeyedsoroush Karimi MadahiBert ClaessensChris Develder

Distributional reinforcement learning-based energy arbitrage strategies in imbalance settlement mechanism

Seyedsoroush Karimi MadahiBert ClaessensChris Develder

A1 Artikel in een tijdschrift in JOURNAL OF ENERGY STORAGE

Explainable reinforcement learning-based home energy management systems using differentiable decision trees

Gargya GokhaleBert ClaessensChris Develder

Frequency containment reserve and imbalance participation : a battery-integrated reinforcement learning strategy

Fabio PaviraniSeyedsoroush Karimi MadahiBert ClaessensChris Develder

Monitoring of photovoltaic systems and forecasting of power system imbalance using neural networks

Jonas Van GompelChris DevelderBert Claessens

Multi-source transfer learning in reinforcement learning-based home battery controller

Seyedsoroush Karimi MadahiToon Van PuyveldeGargya GokhaleBert ClaessensChris Develder

Sample efficient reinforcement learning for building control : leveraging physics-informed latent representations

Gargya GokhaleBert ClaessensChris Develder

2023

Physics-informed machine learning based identification and reinforcement learning based control of flexibility in smart grid applications

Manu LahariyaChris DevelderBert Claessens

Real-world implementation of reinforcement learning based energy coordination for a cluster of households

Gargya GokhaleNiels TibenMarie-Sophie VerweeManu LahariyaBert ClaessensChris Develder

Transfer learning in transformer-based demand forecasting for home energy management system

Gargya GokhaleJonas Van GompelBert ClaessensChris Develder

2022

Physics informed neural networks for control oriented thermal modeling of buildings

Gargya GokhaleBert ClaessensChris Develder

A1 Artikel in een tijdschrift in APPLIED ENERGY